Pi factors revisited

R. Seidl, W. Garry
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引用次数: 4

Abstract

In developing new failure rate models in MIL-HDBK-217E for microcircuits, the need for updated values of three failure-rate adjustment factors (pi-factors) became evident. These pi-factors are the quality factor, the environmental factor, and the learning factor. The logic, methodology, and results of the approach taken in developing these factors are addressed, and a discussion on how to use each pi-factor is provided. The pi-factors discussed are different from those presented in past revisions of MIL-HDBK-217 in that they have been derived from different sets of data from those used to develop the microcircuit models. They are generic to all microcircuits, are flexible and easy to use, and relate to physical attributes (such as device screening) or applicable military specifications.<>
再来看看Pi因子
在开发用于微电路的MIL-HDBK-217E中的新故障率模型时,显然需要更新三个故障率调整因子(pi因子)的值。这些pi因素是质量因素、环境因素和学习因素。讨论了开发这些因素所采用的方法的逻辑、方法和结果,并讨论了如何使用每个pi因素。所讨论的pi因子不同于MIL-HDBK-217过去修订中的pi因子,因为它们来自用于开发微电路模型的不同数据集。它们对所有微电路都是通用的,灵活且易于使用,并且与物理属性(如设备筛选)或适用的军事规格有关
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